def filter_func(images: Images,
cores=None,
chunksize=None,
progress=None) -> Images:
counts = images.counts()
if counts is None:
raise RuntimeError("No loaded log values for this stack.")
counts_val = counts.value / counts.value[0]
div_partial = ptsm.create_partial(_divide_by_counts,
fwd_function=ptsm.inplace)
images, _ = ptsm.execute(images.data,
counts_val,
div_partial,
cores,
chunksize,
progress=progress)
return images
def filter_func(images: Images,
cores=None,
chunksize=None,
progress=None) -> Images:
if images.num_projections == 1:
# we can't really compute the preview as the image stack copy
# passed in doesn't have the logfile in it
raise RuntimeError("No logfile available for this stack.")
counts = images.counts()
if counts is None:
raise RuntimeError("No loaded log values for this stack.")
counts_val = counts.value / counts.value[0]
do_division = ps.create_partial(_divide_by_counts,
fwd_function=ps.inplace2)
ps.shared_list = [images.data, counts_val]
ps.execute(do_division, images.num_projections, progress, cores=cores)
return images